Examples with ImageLinePanel boofcv.gui.feature.ImageLinePanel used on opensource projects

Example 1 with ImageLinePanel

use of boofcv.gui.feature.ImageLinePanel in project BoofCV by lessthanoptimal.

the class VisualizeHoughFoot method process.

public void process(BufferedImage image) {
    I input = GeneralizedImageOps.createSingleBand(imageType, image.getWidth(), image.getHeight());
    I blur = GeneralizedImageOps.createSingleBand(imageType, image.getWidth(), image.getHeight());
    ConvertBufferedImage.convertFromSingle(image, input, imageType);
    GBlurImageOps.gaussian(input, blur, -1, 2, null);
    DetectLineHoughFoot<I, D> alg = FactoryDetectLineAlgs.houghFoot(new ConfigHoughFoot(6, 12, 5, 25, 10), imageType, derivType);
    ImageLinePanel gui = new ImageLinePanel();
    gui.setBackground(image);
    gui.setLines(alg.detect(blur));
    gui.setPreferredSize(new Dimension(image.getWidth(), image.getHeight()));
    BufferedImage renderedTran = VisualizeImageData.grayMagnitude(alg.getTransform().getTransform(), null, -1);
    BufferedImage renderedBinary = VisualizeBinaryData.renderBinary(alg.getBinary(), false, null);
    ShowImages.showWindow(renderedBinary, "Detected Edges");
    ShowImages.showWindow(renderedTran, "Parameter Space");
    ShowImages.showWindow(gui, "Detected Lines");
}

Example 2 with ImageLinePanel

use of boofcv.gui.feature.ImageLinePanel in project BoofCV by lessthanoptimal.

the class VisualizeHoughPolar method process.

public void process(BufferedImage image) {
    I input = GeneralizedImageOps.createSingleBand(imageType, image.getWidth(), image.getHeight());
    I blur = GeneralizedImageOps.createSingleBand(imageType, image.getWidth(), image.getHeight());
    ConvertBufferedImage.convertFromSingle(image, input, imageType);
    GBlurImageOps.gaussian(input, blur, -1, 2, null);
    DetectLineHoughPolar<I, D> alg = FactoryDetectLineAlgs.houghPolar(new ConfigHoughPolar(5, 10, 2, Math.PI / 180, 25, 10), imageType, derivType);
    List<LineParametric2D_F32> lines = alg.detect(blur);
    ImageLinePanel gui = new ImageLinePanel();
    gui.setBackground(image);
    gui.setLines(lines);
    gui.setPreferredSize(new Dimension(image.getWidth(), image.getHeight()));
    BufferedImage renderedTran = VisualizeImageData.grayMagnitude(alg.getTransform().getTransform(), null, -1);
    BufferedImage renderedBinary = VisualizeBinaryData.renderBinary(alg.getBinary(), false, null);
    // Draw the location of lines onto the magnitude image
    Graphics2D g2 = renderedTran.createGraphics();
    g2.setColor(Color.RED);
    Point2D_F64 location = new Point2D_F64();
    for (LineParametric2D_F32 l : lines) {
        alg.getTransform().lineToCoordinate(l, location);
        int r = 6;
        int w = r * 2 + 1;
        int x = (int) (location.x + 0.5);
        int y = (int) (location.y + 0.5);
        // System.out.println(x+" "+y+"  "+renderedTran.getWidth()+" "+renderedTran.getHeight());
        g2.drawOval(x - r, y - r, w, w);
    }
    ShowImages.showWindow(renderedBinary, "Detected Edges");
    ShowImages.showWindow(renderedTran, "Parameter Space");
    ShowImages.showWindow(gui, "Detected Lines");
}

Example 3 with ImageLinePanel

use of boofcv.gui.feature.ImageLinePanel in project BoofCV by lessthanoptimal.

the class ExampleLineDetection method detectLineSegments.

/**
 * Detects segments inside the image
 *
 * @param image Input image.
 * @param imageType Type of image processed by line detector.
 * @param derivType Type of image derivative.
 */
public static <T extends ImageGray<T>, D extends ImageGray<D>> void detectLineSegments(BufferedImage image, Class<T> imageType, Class<D> derivType) {
    // convert the line into a single band image
    T input = ConvertBufferedImage.convertFromSingle(image, null, imageType);
    // Comment/uncomment to try a different type of line detector
    DetectLineSegmentsGridRansac<T, D> detector = FactoryDetectLineAlgs.lineRansac(40, 30, 2.36, true, imageType, derivType);
    List<LineSegment2D_F32> found = detector.detect(input);
    // display the results
    ImageLinePanel gui = new ImageLinePanel();
    gui.setBackground(image);
    gui.setLineSegments(found);
    gui.setPreferredSize(new Dimension(image.getWidth(), image.getHeight()));
    listPanel.addItem(gui, "Found Line Segments");
}

Example 4 with ImageLinePanel

use of boofcv.gui.feature.ImageLinePanel in project BoofCV by lessthanoptimal.

the class VisualizeLineRansac method process.

public void process(@Nullable BufferedImage image) {
    Objects.requireNonNull(image);
    // int regionSize = 40;
    I input = GeneralizedImageOps.createSingleBand(imageType, image.getWidth(), image.getHeight());
    D derivX = GeneralizedImageOps.createSingleBand(derivType, image.getWidth(), image.getHeight());
    D derivY = GeneralizedImageOps.createSingleBand(derivType, image.getWidth(), image.getHeight());
    GrayF32 edgeIntensity = new GrayF32(input.width, input.height);
    // GrayF32 suppressed =  new GrayF32(input.width,input.height);
    // GrayF32 orientation =  new GrayF32(input.width,input.height);
    // GrayS8 direction = new GrayS8(input.width,input.height);
    GrayU8 detected = new GrayU8(input.width, input.height);
    ModelManager<LinePolar2D_F32> manager = new ModelManagerLinePolar2D_F32();
    ModelMatcherPost<LinePolar2D_F32, Edgel> matcher = new Ransac<>(123123, 25, 1, manager, Edgel.class);
    matcher.setModel(() -> new GridLineModelFitter((float) (Math.PI * 0.75)), () -> new GridLineModelDistance((float) (Math.PI * 0.75)));
    ImageGradient<I, D> gradient = FactoryDerivative.sobel(imageType, derivType);
    System.out.println("Image width " + input.width + " height " + input.height);
    ConvertBufferedImage.convertFromSingle(image, input, imageType);
    gradient.process(input, derivX, derivY);
    GGradientToEdgeFeatures.intensityAbs(derivX, derivY, edgeIntensity);
    // non-max suppression on the lines
    // GGradientToEdgeFeatures.direction(derivX,derivY,orientation);
    // GradientToEdgeFeatures.discretizeDirection4(orientation,direction);
    // GradientToEdgeFeatures.nonMaxSuppression4(edgeIntensity,direction,suppressed);
    GThresholdImageOps.threshold(edgeIntensity, detected, 30, false);
    GridRansacLineDetector<GrayF32> alg = new ImplGridRansacLineDetector_F32(40, 10, matcher);
    alg.process((GrayF32) derivX, (GrayF32) derivY, detected);
    MatrixOfList<LineSegment2D_F32> gridLine = alg.getFoundLines();
    // ConnectLinesGrid connect = new ConnectLinesGrid(Math.PI*0.01,1,8);
    // connect.process(gridLine);
    // LineImageOps.pruneClutteredGrids(gridLine,3);
    List<LineSegment2D_F32> found = gridLine.createSingleList();
    System.out.println("size = " + found.size());
    LineImageOps.mergeSimilar(found, (float) (Math.PI * 0.03), 5f);
    // LineImageOps.pruneSmall(found,40);
    System.out.println("after size = " + found.size());
    ImageLinePanel gui = new ImageLinePanel();
    gui.setImage(image);
    gui.setLineSegments(found);
    gui.setPreferredSize(new Dimension(image.getWidth(), image.getHeight()));
    BufferedImage renderedBinary = VisualizeBinaryData.renderBinary(detected, false, null);
    ShowImages.showWindow(renderedBinary, "Detected Edges");
    ShowImages.showWindow(gui, "Detected Lines");
}

Example 5 with ImageLinePanel

use of boofcv.gui.feature.ImageLinePanel in project BoofCV by lessthanoptimal.

the class ExampleLineDetection method detectLines.

/**
 * Detects lines inside the image using different types of Hough detectors
 *
 * @param image Input image.
 * @param imageType Type of image processed by line detector.
 * @param derivType Type of image derivative.
 */
public static <T extends ImageGray<T>, D extends ImageGray<D>> void detectLines(BufferedImage image, Class<T> imageType, Class<D> derivType) {
    // convert the line into a single band image
    T input = ConvertBufferedImage.convertFromSingle(image, null, imageType);
    // Comment/uncomment to try a different type of line detector
    DetectLineHoughPolar<T, D> detector = FactoryDetectLineAlgs.houghPolar(new ConfigHoughPolar(3, 30, 2, Math.PI / 180, edgeThreshold, maxLines), imageType, derivType);
    // DetectLineHoughFoot<T,D> detector = FactoryDetectLineAlgs.houghFoot(
    // new ConfigHoughFoot(3, 8, 5, edgeThreshold,maxLines), imageType, derivType);
    // DetectLineHoughFootSubimage<T,D> detector = FactoryDetectLineAlgs.houghFootSub(
    // new ConfigHoughFootSubimage(3, 8, 5, edgeThreshold,maxLines, 2, 2), imageType, derivType);
    List<LineParametric2D_F32> found = detector.detect(input);
    // display the results
    ImageLinePanel gui = new ImageLinePanel();
    gui.setBackground(image);
    gui.setLines(found);
    gui.setPreferredSize(new Dimension(image.getWidth(), image.getHeight()));
    listPanel.addItem(gui, "Found Lines");
}